如何解决R中变量的大小写例如SPSS
我正在尝试根据特定列将行分布在多个列上。 结果应为具有唯一recordid和一组列的数据框 根据另一列中的唯一值。
recordid location measA measB measC
1 body <NA> 5 <NA>
2 body <NA> >10 text1
2 head <0.1 <0.1 <NA>
3 body 0.02 0.5 text2
3 head <NA> <NA> text3
3 toes <0.1 <0.1 >20
在这里,位置变量是测量列的分组。结果应该是这样的:
recordid measA_body measA_head measA_toes measB_body measB_head measB_toes measC_body measC_head measC_toes
1 <NA> <NA> <NA> 5 <NA> <NA> <NA> <NA> <NA>
2 <NA> <0.1 <NA> >10 <0.1 <NA> text1 <NA> <NA>
3 0.02 <NA> <NA> 0.5 <NA> <NA> text2 text3 >20
在SPSS中,这是在重组菜单中变量函数的情况,但我在R中找不到某种模拟函数。我尝试了某种形式的ivot_wider,但无法使其在多列上工作。在R中执行此操作的最佳方法是什么?
解决方法
您可以执行以下操作:
library(dplyr)
df %>% pivot_wider(names_from = location,values_from = c(measA,measB,measC))
# A tibble: 3 x 10
recordid measA_body measA_head measA_toes measB_body measB_head measB_toes
<int> <chr> <chr> <chr> <chr> <chr> <chr>
1 1 <NA> <NA> <NA> 5 <NA> <NA>
2 2 <NA> <0.1 <NA> >10 <0.1 <NA>
3 3 0.02 <NA> <0.1 0.5 <NA> <0.1
# ... with 3 more variables: measC_body <chr>,measC_head <chr>,# measC_toes <chr>
有数据:
df <-
structure(list(recordid = c(1L,2L,3L,3L),location = c("body","body","head","toes"),measA = c("<NA>","<NA>","<0.1","0.02","<0.1"),measB = c("5",">10","0.5",measC = c("<NA>","text1","text2","text3",">20")),class = "data.frame",row.names = c(NA,-6L
))
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